Effects of Simulated Acid Rain on Seed Germination and Seedling Physiological Characteristics of Annual Ryegrass Lolium Multifolorum
Bibliographic record
Abstract
Using Annual Ryegrass Lolium multifolorum seed as material to study the effect of different pH simulated acid rain on the seed germination and seedling physiological characteristics.The experiment tested the germination power,germination rate,germination index,seedling fresh weight and permeability of plasma membrane etc indexes.The results indicated that the germination power,germination rate and germination indexes all decreased with the simulated acid rain density increasing.There were great changes among the indexes of seedling growth increment: seedling fresh weight increased with simulated acid rain pH rising.And permeability of plasma membrane decreased with the acid rain pH increasing,which showed that seedling leaves were destroyed by the acid rain.The study indicated that the seed of nnual Ryegrass Lolium multifolorum could sprout and grow normally under the condition of weak acid(pH≥3.09),and had certain acidtolerance.But seed germination and seedling growth were seriously restrained under the condition of strong acid(pH≤2.03).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".